TabNet and GrowNet machine learning models to predict properties of benzyltoluene-dibenzyltoluene as a liquid organic hydrogen carrier

International Journal of Hydrogen Energy 2026

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Authors: Amir Hossein Sheikhshoaei, Reza Zabihi
DOI: 10.1016/j.ijhydene.2026.155117
Cited by: 1
References: 43

Fields of Study & Subjects

Hybrid Renewable Energy Systems Chemical Thermodynamics and Molecular Structure Advanced Battery Technologies Research

Publication details

Journal / source
International Journal of Hydrogen Energy
Publisher
Elsevier BV
Volume
235
Pages
155117–155117
Publication date
26 April 2026
Language
EN